IntegrationsPantryHuggingFace
Pantry + HuggingFace

Connect Pantry and HuggingFace to Build Intelligent Automations

Choose a Trigger

Pantry

When this happens...

Choose an Action

HuggingFace

Automatically do this!

Enable Integrations or automations with these events of Pantry and HuggingFace

Enable Integrations or automations with these events of Pantry and HuggingFace

Actions

Create and/or Replace Basket

Create and/or Replace Basket

Given a basket name as provided in the url, this will either create a new basket inside your pantry, or replace an existing one.

Get Contents

Get Contents

Given a basket name, return the full contents of the basket.

Update Contents

Update Contents

Given a basket name, this will update the existing contents and return the contents of the newly updated basket.

Get Details

Get Details

Given a PantryID, return the details of the pantry, including a list of baskets currently stored inside it.

Update Details

Update Details

Update Details in Pantry.

Text Classification

Text Classification

Use any compatible model from the Hugging Face to classify input text using a ML model.

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Frequently Asked Questions

How do I start an integration between Pantry and HuggingFace?

To start, connect both your Pantry and HuggingFace accounts to viaSocket. Once connected, you can set up a workflow where an event in Pantry triggers actions in HuggingFace (or vice versa).

Can we customize how data from Pantry is recorded in HuggingFace?

Absolutely. You can customize how Pantry data is recorded in HuggingFace. This includes choosing which data fields go into which fields of HuggingFace, setting up custom formats, and filtering out unwanted information.

How often does the data sync between Pantry and HuggingFace?

The data sync between Pantry and HuggingFace typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from Pantry to HuggingFace?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Pantry and HuggingFace?

Yes, you can set conditional logic to control the flow of data between Pantry and HuggingFace. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.

Pantry

About Pantry

Pantry is a cloud-based service that provides a simple and efficient way to store and manage data. It is designed to help developers and businesses easily manage their data storage needs with a focus on simplicity and ease of use.

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HuggingFace

About HuggingFace

Hugging Face is a leading platform for natural language processing (NLP) and machine learning models. It provides a wide range of pre-trained models and tools to help developers and researchers build, train, and deploy state-of-the-art machine learning applications.

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